增强Monkey触发Android恶意软件中的恶意载荷

Hayyan Hasan, B. T. Ladani, B. Zamani
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引用次数: 5

摘要

动态分析是分析Android应用行为的重要方法。为了执行动态分析,我们需要一个事件生成器来执行应用程序。Monkey是Android动态分析中最流行的事件生成器。Monkey提供了高代码覆盖率,并且在生成事件时速度也很高。然而,在恶意软件分析的情况下,Monkey受到一些限制。它只考虑UI事件而不考虑系统事件。此外,它会导致在分析过程中断开测试环境的连通性。在本文中,我们试图增强Monkey以减少其局限性,同时保留其优势。建议的方法包括为Monkey准备一个处理系统事件的工具,并在分析过程中保持测试环境的连接性。为了评估Monkey的扩展版本,我们将其与恶意软件分析的两个重要标准的原始版本进行比较:调用敏感api的数量和代码覆盖率。评估过程使用从AMD恶意软件数据集中随机选择的100个样本。结果表明,增强的Monkey提高了其触发敏感api的能力,并增加了其代码覆盖率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Monkey to trigger malicious payloads in Android malware
Dynamic analysis is a prominent approach in analyzing the behavior of Android apps. To perform dynamic analysis, we need an event generator to execute the app. Monkey is the most popular event generator that is used in Android dynamic analysis. Monkey provides high code coverage, and yet high speed in generating events. However, in the case of malware analysis, Monkey suffers from several limitations. It only considers UI events but no system events. Moreover, it causes disconnecting the connectivity of the test environment during the analysis process. In this paper, we try to enhance Monkey to reduce its limitations while preserving its advantages. The proposed approach includes preparing Monkey with a facility for handling system events and keeping the connectivity of the test environment up during the analysis process. To evaluate the extended version of Monkey, we compare it with its original version regarding two important criteria in the case of malware analysis: the number of called sensitive APIs, and the code coverage. The evaluation process uses 100 randomly selected samples from AMD malware dataset. The results show that enhanced Monkey improves its ability to trigger sensitive APIs, and increases its code coverage.
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